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Cloud database resource calculations optimization based on buzzers and genetic algorithm double-population evolution mechanism

机译:基于蜂鸣器和遗传算法双种群演化机制的云数据库资源计算优化

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摘要

Resources from the Internet, How to faster find the resources from cloud database, it is the database resource allocation algorithm cloud combinatorial optimization problem. Try buzzers and genetic algorithm fusion and normal cloud model algorithm, fast convergence to optimal solutions, and it improved phased efficiency of genetic algorithm from a optimal solution to an optimal solution.
机译:来自互联网的资源,如何更快地查找来自云数据库的资源,它是数据库资源分配算法云组合优化问题。尝试蜂鸣器和遗传算法融合和普通云模型算法,快速收敛到最佳解决方案,并改善了从最佳解决方案到最佳解决方案的遗传算法的分阶段效率。

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